Md Mayenul Islam
•Researcher • Lifelong Learner •Aspiring for Higher Study
Md Mayenul Islam
•Researcher • Lifelong Learner •Aspiring for Higher Study
Researcher in Biomedical Signal Processing & Machine Learning
Focus Areas: Wearable Healthcare Devices • Generative AI
Advancing intelligent healthcare monitoring through data-driven innovation.
Md Mayenul Islam
Assistant Professor, Dept. of EEE, RUET
Rajshahi-6204, Bangladesh
Email: mayenulislam18@gmail.com
Contact: +8801533732595
Md Mayenul Islam is currently working as an Assistant Professor in the Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology (RUET), Bangladesh. He completed both M.Sc. and B.Sc. degrees in Electrical and Electronic Engineering from RUET in 2024 and 2021, respectively. Throughout his academic journey, Md Mayenul Islam has consistently demonstrated excellence and dedication, earning several prestigious honors. He was nominated for the Prime Minister Gold Medal Award in 2023 for his outstanding academic achievements. During his undergraduate studies, he received the EEE Association “Student of the Year” Award for three consecutive years and secured merit scholarships in all eight semesters. Beyond academics, he actively contributes to the broader scientific community. In 2024, he was invited to deliver a talk at the IEEE International Industrial Activities Conference (INDCon) on the topic "From Innovation to Market: The Entrepreneurial of Machine Learning", organized by the IEEE Bangladesh Section.
His research interests include biomedical signal processing, machine learning, and AI-driven healthcare technologies. His postgraduate thesis focused on the automatic detection of paroxysmal atrial fibrillation using short-term ECG signals, incorporating HRV, atrial activity, and image-domain Poincaré analysis to distinguish AF even in the presence of ectopic beats. This research has resulted in publications in prestigious venues, including the IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Letters, and the Computing in Cardiology (CinC) conference. In addition to his research achievements, he has been actively involved in teaching, undergraduate supervision, and technical outreach.